947 search results - page 128 / 190 » Evaluation of Sampling for Data Mining of Association Rules |
128
Voted
BMCBI
2007
15 years 18 days ago
2007
Background: The post-genomic era is characterised by a torrent of biological information flooding the public databases. As a direct consequence, similarity searches starting with ...
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
122
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SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
115
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ICDM
2002
IEEE
15 years 5 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
100
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ICDM
2009
IEEE
14 years 10 months ago
2009
IEEE
Scientists increasingly use ensemble data sets to explore relationships present in dynamic systems. Ensemble data sets combine spatio-temporal simulation results generated using mu...